A Proposal on Hybrid-Rank Metrics for Retrieval of Reliable Expert Knowledge in Web
Eun Jung Lee, Min-Joo Lee, Seunghee Lee, Young‐Ho Park, Mok-Ryun Kim, Hoo-Young Ahn · Journal of Digital Contents Society · 2008
Abstract Recently, the participation, opening and joint ownership of the users are important issue. The users want professional and accurate information from web. But users often suffer from retrieving accurate information. Even though the users find information they want, it is not guaranteed that the information is reliable since there are too much information placed on the web. Thus, we propose the novel rank metric to promote reliability and efficiency in information retrieval. In order to verify our approach, we implement a web site based on the proposed rank metric for nonofficial medical science information. The proposed rank metric based on user’s level. This is to give score of text through differential rate depending on the user’s level. The proposed rank metric enhances the reliability of text which is reflecting the user’s mental factor. Thus, this method can be used for enhancing the reliability of text. Keywords : Rank, Metrics, Hybrid, Rank Metrics, Retrieval, Web 1.서론